llzenoll

llzenoll's Stars

• wyysf-98/Sin3DGen

  Language:Python1177

• comfyanonymous/ComfyUI

  The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

  Language:Python59.9k6.4k

• HatsuneMiku3939/pipegpt

  pipegpt is a command-line tool that allows interaction with OpenAI ChatGPT, with the ability to set a prompt and receive input from the user.

  Language:Go91

• eza-community/eza

  A modern alternative to ls

  Language:Rust12.9k228

• baaivision/Emu

  Emu Series: Generative Multimodal Models from BAAI

  Language:Python1.7k86

• Luodian/Otter

  🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

  Language:Python3.6k243

• docarray/docarray

  Represent, send, store and search multimodal data

  Language:Python3k232

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python57.4k4.9k

• tensortrade-org/tensortrade

  An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

  Language:Python4.6k1k

• notadamking/RLTrader

  A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

  Language:Python1.7k538

• mvillarrealb/docker-spark-cluster

  A simple spark standalone cluster for your testing environment purposses

  Language:Dockerfile558348

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k2.3k

• SkalskiP/ILearnDeepLearning.py

  This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

  Language:Jupyter Notebook1.4k468

• mbadry1/DeepLearning.ai-Summary

  This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

  Language:Python5.2k2.4k

• Kulbear/deep-learning-coursera

  Deep Learning Specialization by Andrew Ng on Coursera.

  Language:Jupyter Notebook7.5k5.5k

• keras-team/keras-contrib

  Keras community contributions

  Language:Python1.6k651

• titu1994/Snapshot-Ensembles

  Snapshot Ensemble in Keras

  Language:Python30575

• udacity/self-driving-car-sim

  A self-driving car simulator built with Unity

  Language:C#3.9k1.5k

• markdregan/Bayesian-Modelling-in-Python

  A python tutorial on bayesian modeling techniques (PyMC3)

  Language:Jupyter Notebook2.5k414

• pytorchbearer/torchbearer

  torchbearer: A model fitting library for PyTorch

  Language:Python63665

• inejc/painters

  :art: Winning solution for the Painter by Numbers competition on Kaggle.

  Language:Python26359

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k4.2k

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.4k7.6k

• jeffheaton/t81_558_deep_learning

  T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  Language:Jupyter Notebook5.7k3k

• j2kao/fcc_nn_research

  (somewhat) cleaned-up notebooks used in researching public comments for FCC Proceeding 17-108 (Net Neutrality Repeal)

  Language:Jupyter Notebook17623

• facebookresearch/ResNeXt

  Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

  Language:Lua1.9k291

• chi-feng/mcmc-demo

  Interactive Markov-chain Monte Carlo Javascript demos

  Language:JavaScript809115

• davidmascharka/tbd-nets

  PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

  Language:Jupyter Notebook34874

• ZFTurbo/Kaggle-Planet-Understanding-the-Amazon-from-Space

  3rd place solution

  Language:Python6321