A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
Keras Audio Preprocessors – compute STFT, ISTFT, Melspectrogram, and others on GPU real-time.
Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing the workload in a cluster, and it can be accelerated by CUDA.
PyCUDA lets you access Nvidia's CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist-so what's so special about PyCUDA?
A polyphase resampler changes the sample rate of an incoming signal while using polyphase filter banks to preserve the overall shape of the original signal.
GPUtil is a Python module for getting the GPU status from NVIDA GPUs using nvidia-smi. GPUtil locates all GPUs on the computer, determines their availablity and returns a ordered list of available GPUs.