paperswithcode / sotabench-apiLinks
Easily benchmark Machine Learning models on selected tasks and datasets
☆16Updated 2 years ago
Alternatives and similar repositories for sotabench-api
Users that are interested in sotabench-api are comparing it to the libraries listed below
Sorting:
- A simple OpenAI Gym environment for Neural Architecture Search (NAS)☆30Updated 5 years ago
- Hyperparameter tuning via uncertainty modeling☆47Updated last year
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Get packages onto your conda channel faster☆25Updated 8 months ago
- Collection of Papers and Trials on Deep Learning to aid EE design☆45Updated 4 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- I clearly unravel how I came to invent the supermanifold hypothesis in deep learning, (a part of a system called 'thought curvature') in …☆20Updated 2 years ago
- benchmarking some transformer deployments☆26Updated 2 years ago
- Submissions for AI and Efficiency SOTA's☆56Updated 5 years ago
- Large dataset storage format for Pytorch☆45Updated 3 years ago
- A collection of optimizers, some arcane others well known, for Flax.☆29Updated 4 years ago
- 📰 Computing the information content of trained neural networks☆21Updated 3 years ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆71Updated last month
- ☆20Updated last year
- Codes for paper "KNAS: Green Neural Architecture Search"☆93Updated 3 years ago
- ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.☆73Updated last year
- Easily benchmark machine learning models in PyTorch☆149Updated last year
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 4 months ago
- Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.☆154Updated 6 years ago
- PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"☆24Updated this week
- A collection of utilities for writing labeling functions, transformation functions, and slicing functions.☆22Updated 5 years ago
- A collection of tools for reverse engineering neural networks.☆155Updated last year
- Benchmarking PyTorch 2.0 different models☆20Updated 2 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 4 years ago
- List of awesome JAX resources☆13Updated 2 years ago
- ☆19Updated this week
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Fastai+PyTorch implementation of sparse model training methods (SET, SNFS, RigL) + customize-your-own.☆10Updated 2 years ago
- Federated Learning Infra Architecture on Kubernetes(EKS)☆19Updated 5 years ago