Highlights
- Pro
Lists (2)
Sort Name ascending (A-Z)
Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Make websites accessible for AI agents
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
💬 Machine Learning Course with Python:
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Run PyTorch LLMs locally on servers, desktop and mobile
Generate embeddings from large-scale graph-structured data.
Code for the paper "Evaluating Large Language Models Trained on Code"
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Shared repository for open-sourced projects from the Google AI Language team.
An open source framework for seq2seq models in PyTorch.
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024