mahakal001 Goto Github PK

64bitasm

64bit assembly programs

algo-panda

A collection of algorithms in python

algorithms

A collection of various algorithms in c++

bashscripts

BashScripts : Hack the Terminal with these useful utilities.

datasets

Datasets from Kaggle for easy colab import

deepspeedexamples

Example models using DeepSpeed

eagle

IRC bot written in c

equinox

Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

games

An implenentaion of various games using c++ and sfml

gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

gpu-puzzles

Solve puzzles. Learn CUDA.

hyperlandmark

Deep Learning Based Free Mobile Real-Time Face Landmark Detector.

jax_transformer

Autoregressive transformer in JAX from scratch

llm-labs

A collection of labs to play with Language Models. Each folder in this repo corresponds to a standalone experiment to keep things simple.

lm-format-enforcer

Enforce the output format (JSON Schema, Regex etc) of a language model

mahakal001

Config files for my GitHub profile.

mahakal001.github.io

maze-runner

This is an AI based project where a character will play in a maze using AI algorithms

mctx

Monte Carlo tree search in JAX

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nanogpt-jax

An implementation of nanogpt in jax from scratch based on Andrej Karpathy's tutorial series on Neural Networks.

openpipe

Turn expensive prompts into cheap fine-tuned models

reinforcement-learning

A collection of various projects related to Reinforcement Learning

sasta-notepad

An app for making Notes

scraper

system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

tensor-puzzles

Solve puzzles. Improve your pytorch.

tinyobjloader

Tiny but powerful single file wavefront obj loader

vq-vae

Implementation of the paper "Neural Discrete Representation Learning"