binny1446
I am Interested in Understanding and Creating Intelligent Species.
Varanasi, Uttar Pradesh, India
binny1446's Stars
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
kelseyhightower/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
lllyasviel/Fooocus
Focus on prompting and generating
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
tensorflow/lucid
A collection of infrastructure and tools for research in neural network interpretability.
MilesCranmer/PySR
High-Performance Symbolic Regression in Python and Julia
langchain-ai/rag-from-scratch
cgpotts/cs224u
Code for Stanford CS224u
ermongroup/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
rosinality/vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
google-research/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
ritheshkumar95/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
open-thought/system-2-research
System 2 Reasoning Link Collection
quantumlib/qsim
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
HazyResearch/aisys-building-blocks
Building blocks for foundation models.
csquires/6.S091-causality
qigitphannover/DeepQuantumNeuralNetworks
krishnaik06/Finetuning-LLM
nathanshammah/open-quantum-hardware
a list of quantum open hardware projects.
goodfeli/models
Models built with TensorFlow
lockwo/qml-library
A curated list of papers, blogs, and research publications in the field of Quantum Machine Learning
Sinestro38/qosf-qgan
Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using Pennylane.
JeanKaddour/PAML
Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).
yiweifengyan/Papers-on-Ternary-and-Binary-Networks
Papers and codes about Quantized Networks for easier survey and reference.
ethanluoyc/optimal_transport_reward
spectraldani/thindeepgps
Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)
lockwo/RL-Implementations
From scratch implementations of prominent reinforcement learning techniques
dipankar05/springer-cropradar
Springer monograph