google-research/timesfm

ㅋㅋ 구글 Research 팀이 만든 오픈소스 TimesFM. 시간 시리즈 데이터만 있으면 거의 모든 산업 미래 예측 가능함. 크로스보더 이커머스 폭주, 재고 최적화, 코인/주식 변동, AI 데이터센터 전력 수요까지 다 커버. 100B+ 실데이터로 미리 학습돼서 zero-shot으로 바로 쓰고, 성능은 전문 모델급인데 완전 로컬+무료+Apache 2.0. GitHub에 올려놨으니 바로 테스트해보라는 내용. 만능 예측기라면서? ㅋㅋ 진짜 써봐야 알겠다. github.com/google-research/t…

Matched through a repo-specific project phrase query.

10万+人看过的预测神器！试过你就会发现新大陆 之前推荐的这个谷歌开源项目TimesFM零样本直接可以预测跨境电商、加密货币、AI、股票走势……..所有行业的未来 因为它不依赖特定行业或任务的额外训练数据，只要输入历史序列就能零样本工作 这也是它能轻松覆盖股票K线、电商销量、供应链库存、网站流量等各种行业的原因 我自己把TimesFM在本地部署跑了一下，用它预测了2026年几只龙头美股的表现👇

Matched through a repo-specific project phrase query.

Dither AI: Everything You Should Know Dither is developing the world’s most powerful AI time-series model by using immutable blockchain data. ━━━━━━ The Time Series Model: Tempus ━━━━━━ The interesting thing about Dither is that it works on time-series AI models. Dither solution to the challenges of quality and quantity in time series data is using blockchain data. Blockchains are a perfect resource Why? Because of time series data, making them ideal for training foundational LTMs. ━━━🤖━━━ Why is the Time series model good? ━━━🤖━━━ -TimesFM is a foundation Time-Series Forecasting model, created by Google Research. -TimesFM has 200M parameters and was trained on 100B real world time points. -Outperforms other SOTA models •Despite being 6.5 times smaller than TimesFM, Dither Seer1.5 model has only just 30% smaller error rate. ━━━🤖━━━ Seerbot — Your ruthless ultimate AI friend in the Trenches ━━━🤖━━━ Dither first product is Seerbot, A Telegram-based bot designed to send trading signals for Solana tokens. There are two versions of Seerbot: Standard and Premium. •The Standard version focuses on small-cap Solana tokens. •Standard requires a holding of 2500 $DITH tokens. It signals the following info •Name -> Socials -> AI analysis •Financial information: market cap -> liquidity -> security -> clustering. •Holder analysis along with whale map Seerbot integrates with popular Telegram bots like Bonk and Trojan. •The Premium version of Seerbot monitors large-cap tokens over longer time frames and offers more detailed entry and exit recommendations. •Premium requires 50000 $DITH tokens. ━━━━━━ Tokenomics ━━━━━━ $DITH was fairly launched in February 2024, during the peak of the memecoin boom. 4% of the total supply is allocated to the team wallet. The total token supply is 100 million already in circulation. •The Creator of Dith ai is @0xMattness Seerbot has a decent track record, with users reporting profitable trades from deep in the Solana trenches. With a relatively low FDV at 4.6 million, Dither could be undervalued if it continues to generate positive trading signals. A potential that must be confirmed by consistent historical performance over time. The long-term vision is a foundation Time-Series model which is able to arbitrarily predict across various domains. That means tokens, sports betting, resource allocation, and legacy finance. @Dither_Solana is a stepping stone to a much larger ecosystem. In my opinion, there’s great potential for TS foundation models in the future! Did you like this post on Dither ai? Like = ⭐⭐⭐ Share = ⭐⭐⭐⭐ Comment = ⭐⭐⭐⭐⭐ How many stars for me 😁✌️

Returned by a high-confidence repo query and contains a visible project phrase, but the exact URL, slug, or package name was not visible.

产品销量趋势、股票价格波动、话题讨论走向...我们每天都在做各种预测判断。 最近发现谷歌 Research 团队开源的 TimesFM 模型，可帮助我们预测未来，已斩获 17000+ GitHub Star。 GitHub： github.com/google-research/t… 无需样本直接上手，在 100B+ 真实世界时间序列数据上预训练而成，不微调也能打平很多专门训练的传统模型。 最新 2.5 版本只有 200M 参数，支持最长 16k 上下文，还能输出置信区间，不只给一个点估计。 基于 Apache 2.0 协议开源，可完全本地运行，提供现成的 LoRA 微调示例可以直接参考。 已集成进 BigQuery ML、Google Sheets 和 Vertex AI，开箱即用的场景覆盖还挺全的。

Returned by a high-confidence repo query and contains a visible project phrase, but the exact URL, slug, or package name was not visible.

NWO #TimesFM + #EML Regression Integration predicts when Robots need maintenance→ EML discovers why by learning underlying physics laws from the residuals. Together they create self-improving autonomous systems that understand both timing & causality. 🔗 github.com/RedCiprianPater/n…

Matched through a repo-specific project phrase query.

Every Robot in the #NWOAgentGraph Streams #Telemetry → #TimesFM Forecasts the next 32 steps→ #EMLRegression Collapses the Residual into a Symbolic Law like exp(0.3t)-ln(soc) Nodes don't just know what happened They know the Equation for why claude.ai/public/artifacts/4…

Matched through a repo-specific project phrase query.

Zaman serisi tahminlemesi 2025'e kadar her veri seti için sıfırdan model eğitmeyi gerektiriyordu. Foundation modeller bu varsayımı yıktı. Amazon, Google ve Salesforce'un yayınladığı ön eğitimli modeller zero-shot tahmin yapabiliyor. Klasik yöntemlerden foundation modellere kadar Python ekosistemi hiç bu kadar zengin olmamıştı. Özenle seçilmiş 6 GitHub reposu: 🔹 unit8co/darts: ARIMA'dan derin öğrenmeye tüm yöntemleri tek arayüzde birleştiriyor. scikit-learn benzeri fit/predict API'si, çok değişkenli seriler, olasılıksal tahmin ve anomali tespiti desteği. En kapsamlı kütüphane. 🔹 Nixtla/statsforecast: Klasik istatistiksel yöntemler (ETS, ARIMA, Theta) için optimize edilmiş. Binlerce seriyi paralel tahmin edebiliyor. Akademik araştırmada istatistiksel benchmark için ideal. 🔹 Nixtla/neuralforecast: N-BEATS, N-HiTS, PatchTST, TiDE gibi güncel neural modelleri tek çatıda sunuyor. GPU hızlandırmalı, ölçeklenebilir. statsforecast ile birlikte kullanılabiliyor. 🔹 amazon-science/chronos-forecasting: Amazon'un zaman serisi foundation modeli. Seriyi token'lara dönüştürüp dil modeli mimarisiyle eğitiyor. Eğitimsiz zero-shot tahmin yapabiliyor, Hugging Face'te milyonlarca indirme (Machine Learning Mastery, 2026). 🔹 google-research/timesfm: Google Research'ün decoder tabanlı foundation modeli. 100 milyar+ veri noktası üzerinde ön eğitimli. Google üretim ortamlarında test edilmiş, nokta tahmin odaklı. 🔹 sktime/sktime: Birleşik ML framework'ü. Tahmin, sınıflandırma, kümeleme ve anomali tespiti tek kütüphanede. Akademik araştırmalarda en çok referans verilen zaman serisi framework'ü. Foundation modeller giriş bariyerini düşürdü, klasik yöntemler hâlâ benchmark standardı. İkisini birlikte kullanmak en güçlü yaklaşım.

Contains the exact GitHub repo slug.

This EML operator enables our residual symbolic analyzer to extract closed-form elementary laws from TimesFM forecast errors. From a single binary operator, we recover logs, exps, polynomials, trig functions. 🔗 arxiv.org/abs/2603.21852 🔗 github.com/RedCiprianPater/n…

Matched through a repo-specific project phrase query.

🦞 0xMedia 龙虾生态精选 | 3/31 Claude Code 源码泄露引爆全球开发者社区，今日 GitHub 半壁江山被 Claude 相关项目占据 但泄露浪潮之外，同样有值得挖掘的宝藏： 1⃣ microsoft/VibeVoice 微软开源前沿语音 AI。不是普通 TTS，直接对标 GPT-4o 语音模式 🔗 github.com/microsoft/VibeVoi… 2⃣ NousResearch/hermes-agent "与你一起成长的 Agent"。Nous Research 出品，主打 agent 自我进化 🔗 github.com/NousResearch/herm… 3⃣ vas3k/TaxHacker 自托管 AI 记账应用。用 LLM 分析发票、收据、银行流水，自动分类。报税季刚需 🔗 github.com/vas3k/TaxHacker 4⃣ farion1231/cc-switch Rust 写的跨平台切换器，一键在 Claude Code / Codex / OpenCode / Gemini CLI 间来回跳。今日需求暴涨（原因你懂的）。 🔗 github.com/farion1231/cc-swi… 5⃣ OpenBB-finance/OpenBB Bloomberg Terminal 的开源平替。面向分析师、量化和 AI agent 的金融数据平台，持续稳定迭代中 🔗 github.com/OpenBB-finance/Op… 6⃣ mayocream/koharu Rust 写的 ML 漫画翻译器。自动识别气泡文字 + 翻译 + 排版，二次元福音 🔗 github.com/mayocream/koharu 7⃣ google-research/timesfm Google Research 出品的时间序列基础模型。做量化和预测的注意。这是专门为时间序列预训练的 Foundation Model。 🔗 github.com/google-research/t… 8⃣ screenpipe/screenpipe 后台 Agent 框架：基于你的屏幕操作自动运行 agent。Rust 写的，隐私本地化 🔗 github.com/screenpipe/screen… 如果这类内容对你有帮助，欢迎关注 @0xmediaco 我们会持续更新值得关注的项目和趋势 🦞

Contains the exact GitHub repo slug.