Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

Fine-tuning code for CLIP models

Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KN…

Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)

Must-read Papers on Large Language Model (LLM) Continual Learning

LLM finetuned for medical question answering

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A playbook for systematically maximizing the performance of deep learning models.

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

Awesome papers about unifying LLMs and KGs

A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)

Graph Neural Network Library for PyTorch

A collection of full time roles in SWE, Quant, and PM for new grads.

Deep and conventional community detection related papers, implementations, datasets, and tools.

PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation (EMNLP 2021)

Lilian's Blog

Must-read papers on graph neural networks (GNN)

Generic Constraint Development Environment

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A collection of design patterns/idioms in Python

enjoy chatting with friends

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