evelynmitchell's Projects
Python Koans - Learn Python through TDD
A python project template with dockerfile, poetry, pytest
A transcompiler that writes PlusCal files from python bytecode/AST
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog post.
A simple network quantization demo using pytorch from scratch.
A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
QLoRA: Efficient Finetuning of Quantized LLMs
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
Open-source scientific and technical publishing system built on Pandoc.
Quint is an executable specification language with design and tooling focused on usability. It is based on the Temporal Logic of Actions
Dump all your files and thoughts into your GenerativeAI Second Brain and chat with it
The official repo of Qwen-Audio (通义千问-Audio) chat & pretrained large audio language model proposed by Alibaba Cloud.
An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch
Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Evaluate social risks of AI startups for investors
A python module for using the NIST randomness beacon, generating 512-bits of randomness every 60 seconds
Ranger deep learning optimizer rewrite to use newest components
Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Validate RDF data purely in JavaScript. An implementation of the W3C SHACL specification on top of the RDFJS stack.
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models