raminmh

raminmh's Stars

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python68.3k57408.1k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.7k55871110.1k

• karpathy/nanoGPT

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

  Language:Python36.5k3713155.7k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.1k3832984.1k

• sammchardy/python-binance

  Binance Exchange API python implementation for automated trading

  Language:Python6k2181.1k2.2k

• robertmartin8/PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  Language:Jupyter Notebook4.4k132463948

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k87167845

• Stability-AI/stability-sdk

  SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)

  Language:Jupyter Notebook2.4k67112338

• mlech26l/ncps

  PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

  Language:Python1.9k7166311

• EleutherAI/the-pile

  Language:Python1.5k31100128

• raminmh/liquid_time_constant_networks

  Code Repository for Liquid Time-Constant Networks (LTCs)

  Language:Python1.5k6816272

• DiffEqML/torchdyn

  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  Language:Jupyter Notebook1.4k27113127

• MadryLab/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  Language:Jupyter Notebook9111883181

• raminmh/CfC

  Closed-form Continuous-time Neural Networks

  Language:Python8573215139

• google/evojax

  Language:Jupyter Notebook832232883

• RobertTLange/evosax

  Evolution Strategies in JAX 🦎

  Language:Python486104144

• aamini/evidential-deep-learning

  Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

  Language:Python430171697

• raminmh/liquid-s4

  Liquid Structural State-Space Models

  Language:Python29515251

• martinsbruveris/tensorflow-image-models

  TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.

  Language:Jupyter Notebook28691625

• lindermanlab/S5

  Language:Python25281344

• pyhopper/pyhopper

  PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

  Language:Python86426

• CPS-TUWien/racing_dreamer

  Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

  Language:Python747918

• mlech26l/gigastep

  Language:Python614123

• yolky/RFAD

  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"

  Language:Python36353

• flaport/torch_eunn

  A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)

  Language:Python32304

• DatenVorsprung/GoTube

  Scalable stochastic verification of continuous-depth models

  Language:Python11004

• lungd/LTC.jl

  Language:Julia65201

• mlech26l/icra_lds

  Official code repository of the paper Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-To-End Robot Learning Scheme by Mathias Lechner, Ramin Hasani, Daniela Rus, and Radu Grosu, published at ICRA 2020.

  Language:Python5211

• CPS-TUWien/f1tenth_maps

  Collection of f1tenth tracks from various sources

  Language:Python4400

• Oidlichtnwoada/NeuralNetworkArena

  Language:TeX10