themrzmaster

git-re-basin-pytorch

Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch

bayesvit

bayesformer based on a simple VIT

llama-cpp-python

Python bindings for llama.cpp

bda-turing

Notebooks for Bayesian Data Analysis by Gelman et al

arxiv-similar-papers

Find similar papers on Arxiv given the title, abstract or part of the work

ddm-jax

Deep diffusion models in Jax

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Bijectors.jl

Implementation of normalising flows and constrained random variable transformations

Binance-volatility-trading-bot

This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.

bnn_priors

Code for the paper "Bayesian Neural Network Priors Revisited"

cartolafc

Football scouts from Cartola FC at a data lake with data warehouse and dashboard

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

duplicate-code-detection-tool

A simple Python3 tool to detect similarities between files within a repository

flash-attention

Fast and memory-efficient exact attention

functionary

Chat language model that can interpret and execute functions/plugins

GroundingDINO

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

gspread

Google Sheets Python API

langchain

⚡ Building applications with LLMs through composability ⚡

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

loss-landscape

Code for visualizing the loss landscape of neural nets

neural-tangents

Fast and Easy Infinite Neural Networks in Python

pyBKT

Python implementation of Bayesian Knowledge Tracing and extensions

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

pyro

Deep universal probabilistic programming with Python and PyTorch

pystan

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

shrinkbench

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

simple-evals

swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

SWE-agent

SWE-agent: Agent Computer Interfaces Enable Software Engineering Language Models