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Awesome-LLM: a curated list of Large Language Model
A guidance language for controlling large language models.
DALL·E Mini - Generate images from a text prompt
Open source code for AlphaFold 2.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
The Natural Language Decathlon: A Multitask Challenge for NLP
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Low-code framework for building custom LLMs, neural networks, and other AI models
UI visual interface for fastai - now compatible with Google Colab
Ongoing research training transformer models at scale
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Transformer training code for sequential tasks
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
Open source platform for the machine learning lifecycle
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
A natural language modeling framework based on PyTorch
Open source annotation tool for machine learning practitioners.
1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
Leetcode Python Solution and Explanation. Also a Guide to Prepare for Software Engineer Interview.