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Heslil Inc.
- Los Angeles, California
- http://fireant.github.io/
Stars
Artificial Neural Engine Machine Learning Library
A fully open-source headless CMS that supports Markdown and Visual Editing
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Generate 3D objects conditioned on text or images
Collection of audio-focused loss functions in PyTorch
A python framework for symbolic music generation, evaluation and analysis
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
A Dataset of Python Challenges for AI Research
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
State-of-the-art 2D and 3D Face Analysis Project
SeetaFace 2: open source, full stack face recognization toolkit.
unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection
Build your own ArcFace, CenterFace/Centernet
A collection of services with great free tiers for developers on a budget. Sponsored by Mockoon, the best mock API tool. https://mockoon.com
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A RocksDB compatible KV storage engine with better performance
Model interpretability and understanding for PyTorch
Algorithms for outlier, adversarial and drift detection
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

