15 projects
mmap-ninja-dataframe
mmap_ninja_dataframe: Memory mapped data structures
socket-rpc
Microlib for socket RPC
mmap-ninja
mmap.ninja: Memory mapped data structures
ssh-distributed
Microlib for managing distributed computations using ssh.
llm-sepweight
Microlib for converting LLM weights into sepweight format
llm-falcon-model
Microlib for the Falcon LLM
llm-sampler
Microlib for sampling from an LLM
llm-weights-mmap
Microlib for memory-mapping LLM (large language models) weights
llm-partial-run
Microlib for partial deployment of LLMs
dnn-cool-train-loop
dnn_cool_train_loop: Multi-task learning with conditional objective training loop
dnn-cool-synthetic-dataset
dnn_cool_synthetic_dataset: Generating synthetic dataset for multi-task learning projects.
py-import-tree
py_import_tree: A library for analyzing Python's code tree.
dnn-cool-losses
dnn_cool_losses: Per-sample loss functions and utilities
dnn-cool-activations
dnn_cool_activations: Simple Numpy activation functions
dnn-cool
DNN.Cool: Multi-task learning for Deep Neural Networks (DNN).
