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Reinforcement Learning for Stock Market Prediction
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Large Language Model Text Generation Inference
Composable transformations of Python NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Fast and memory-efficient exact attention
🔗 Some useful websites for programmers.
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
DSPy: The framework for programming—not prompting—foundation models
PyTorch code and models for V-JEPA self-supervised learning from video.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Hydra is a framework for elegantly configuring complex applications
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
LlamaIndex is a data framework for your LLM applications
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
These are the best resources for System Design on the Internet
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Robust Speech Recognition via Large-Scale Weak Supervision
🦜🔗 Build context-aware reasoning applications
10 Weeks, 20 Lessons, Data Science for All!
Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.
Awesome-LLM: a curated list of Large Language Model
General technology for enabling AI capabilities w/ LLMs and MLLMs
A programming framework for agentic AI 🤖
Official inference library for Mistral models
The official Python library for the OpenAI API