Nevergrad
Nevergrad is a Python library for
derivative-free optimization, offering
robust implementations of many
algorithms suited for black-box
functions (i.e. functio...
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StarSpace
StarSpace is a general-purpose
embedding-based learning framework that
trains embeddings for entities (words,
sentences, users, items) under various
supervisio...
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fairseq-lua
fairseq-lua is the original Lua/Torch7
version of Facebook AI Researchs
sequence modeling toolkit, designed for
neural machine translation (NMT) and
sequence ...
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PyTorch-BigGraph
PyTorch-BigGraph (PBG) is a system for
learning embeddings on massive
graphsthink billions of nodes and
edgesusing partitioning and distributed
training to k...
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Mask2Former
Mask2Former is a unified segmentation
architecture that handles semantic,
instance, and panoptic segmentation with
one model and one training recipe. Its
core ...
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Large Concept Model
Large Concept Model is a research
codebase centered on concept-centric
representation learning at scale, aiming
to capture shared structure across many
categor...
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FrankMocap
FrankMocap is a monocular 3D human
capture system that estimates body,
hand, and optionally face pose from a
single RGB image or video. It regresses
parametric...
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PyCls
pycls is a focused PyTorch codebase for
image classification research that
emphasizes reproducibility and strong,
transparent baselines. It popularized
familie...
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DarkForestGo
darkforestGo is an early
deep-reinforcement-learning Go engine
that combined a convolutional
policy/value network with Monte Carlo
Tree Search (MCTS) to play t...
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