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alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

annotated-s4

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autograd

Efficiently computes derivatives of numpy code.

banglanlg

This repository contains the official release of the model "BanglaT5" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla".

baukit

beginner-network-pentesting

Notes for Beginner Network Pentesting Course

bso

contextualbandits

Python implementations of contextual bandits algorithms

cracking-the-coding-interview-python-solutions-and-explanations

Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.

critique-apps

Apps built using Inspired Cognition's Critique.

cross-entropy-for-combinatorics

Code accompanying the manuscript "Constructions in combinatorics via neural networks and LP solvers".

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

data-science

Collection of useful data science topics along with code and articles

deeplearning-models

A collection of various deep learning architectures, models, and tips

densenet

Applying DenseNet model for a classification task on CIFAR and MNIST dataset. Different (Dense net) block sizes are are experimented and compared on tensor board.

exp-gmips-nips17

Experimental Codes for A Greedy Approach for Budgeted Maximum Inner Product Search

faang-coding-interview-questions

A curated List of Coding Questions Asked in FAANG Interviews

flamegraph

Stack trace visualizer

g-mlp-pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

gpu-puzzles

Solve puzzles. Learn CUDA.

grokking

unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"

hindsight

hir

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

memray

Memray is a memory profiler for Python

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mixture-of-experts

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

mt5-soft-prompt-tuning

multi_armed_bandit

Monte Carlo simulations of several different multi-armed bandit algorithms and a comparison with classical statistical A/B testing