FastAgency provides machine-learning models, research, training resources, or evaluation tools.
Directory
Search results
Published directory entries matching your search.
Making neural nets uncool again, focused on making deep learning more accessible.
Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world.
A Python package to assess and improve fairness of machine learning models.
Visualizations for understanding and analyzing machine learning datasets.
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
Python package which helps to debug machine learning classifiers and explain their predictions.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Early days of AI - by Elad Gil provides machine-learning models, research, training resources, or evaluation tools.
Scala Library/REPL for Machine Learning Research.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Shared knowledge makes agents faster and more reliable.
DLib has C++ and Python interfaces for face detection and training general object detectors.
A deep learning-based translation library between 50 languages, built with transformers.
Track real-time GPU and LLM pricing across all cloud and inference providers.
Deep learning optimization library that makes distributed training easy, efficient, and effective.
Cheaper V4 model, supports thinking and non-thinking modes.
A fast Clojure Tensor & Deep Learning library.
Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Creates, rewrites or summarizes written content with language models.
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.